๐—ก๐—ฒ๐˜„ ๐—ฅ๐—ฒ๐˜€๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—”๐—น๐—ฒ๐—ฟ๐˜: ๐—ช๐—ผ๐—บ๐—ฒ๐—ป ๐—”๐—ฟ๐—ฒ ๐—™๐—ฎ๐—น๐—น๐—ถ๐—ป๐—ด ๐—•๐—ฒ๐—ต๐—ถ๐—ป๐—ฑ ๐—ถ๐—ป ๐—”๐—œ ๐—”๐—ฑ๐—ผ๐—ฝ๐˜๐—ถ๐—ผ๐—ป

A new working paper by Otis, Delecourt, Cranney & Koning (2024โ€“2025) reveals a troubling global trend:

Across 18 studies and data from 140,000+ participants (plus a focused experiment in Kenya), women are 25% less likely than men to use generative AI tools like ChatGPT and Claude.

This gap is consistent across countries, sectors, and education levels. Even when access is equal, the gap remains.

๐—ช๐—ต๐˜† ๐—ฎ๐—ฟ๐—ฒ ๐˜„๐—ผ๐—บ๐—ฒ๐—ป ๐—ต๐—ผ๐—น๐—ฑ๐—ถ๐—ป๐—ด ๐—ฏ๐—ฎ๐—ฐ๐—ธ?
โ€ข Ethical concerns โ€“ fear of being seen as โ€œcheatingโ€
โ€ข Social pressure โ€“ fear of judgment
โ€ข Confidence โ€“ less comfort and familiarity with the tools.

๐—ง๐—ต๐—ฒ ๐—ฐ๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—บ๐—ฝ๐—ฎ๐—ฐ๐˜:
โ€ข Missed productivity and tech-related advantages
โ€ข Risk of widening pay and opportunity gaps
โ€ข AI trained mostly on male input could reinforce gender bias.

๐—ช๐—ต๐—ฎ๐˜ ๐—ป๐—ฒ๐—ฒ๐—ฑ๐˜€ ๐˜๐—ผ ๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ?
โ€ข Equal access is not enough โ€“ workplace culture must support AI exploration
โ€ข Encourage trial and error
โ€ข Normalize AI use and provide inclusive training environments.

If women donโ€™t engage with AI now, the gender gap in the workplace could grow even wider.

๐Ÿ”— Read the full paper here: https://lnkd.in/dUBvw_gC

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